A Reinforcement Learning Approach for Electric Vehicle Routing Problem with Vehicle-to-Grid Supply

no code implementations • 12 Apr 2022 • Ajay Narayanan, Prasant Misra, Ankush Ojha, Vivek Bandhu, Supratim Ghosh, Arunchandar Vasan

The use of electric vehicles (EV) in the last mile is appealing from both sustainability and operational cost perspectives.

Reinforcement Learning (RL)

A simulation driven optimization algorithm for scheduling sorting center operations

no code implementations • 7 Dec 2021 • Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya Paranjape, Souvik Barat, Harshad Khadilkar

Parcel sorting operations in logistics enterprises aim to achieve a high throughput of parcels through sorting centers.

Scheduling

Transient and Asymptotic Properties of Robust Adaptive Controllers in the Presence of Non-Coercive Lyapunov Functions

no code implementations • 22 Apr 2021 • Aditya A. Paranjape, Vivek Natarajan, Supratim Ghosh

Adaptive control architectures often make use of Lyapunov functions to design adaptive laws.

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

no code implementations • 24 Feb 2021 • Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar

This paper develops an inherently parallelised, fast, approximate learning-based solution to the generic class of Capacitated Vehicle Routing Problems with Time Windows and Dynamic Routing (CVRP-TWDR).

Reinforcement Learning (RL)